In this experiment we try to identify transportation modes of GPS trajectories in the data, so it is a multi-class classification task. First we apply our usual preprocessing step including removing stationary points and trajectories less than 10 waypoints. Since we would like to fairly compare our results with the results from state-of-the-art papers, we try to apply the experimental setup used in [1]}, [2]}, for example. Thus, in this experiment we use 80-20 train-test split. Moreover, each trajectory is partitioned into short trajectories if the time interval between two consecutive waypoints exceeds the 20 minutes threshold according to the recommendation in [3]}, which is also employed in the aforementioned references. The distribution of transportation modes after the preprocessing step is as follows: walk: 2060, bike 1110, bus: 1094, car: 975, train: 359, which in total are 5174 trajectories.
